Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
While the demand for college graduates with computing skills continues to rise, such skills no longer equate to mere programming skills. Modern day computing jobs demand design, c...
Christopher D. Hundhausen, N. Hari Narayanan, Mart...
—In this paper we present SYNCOBOOK, a distributed system that offers the functionalities of a face-to-face cooperative bookmarking system and of a recommendation system. Our ove...
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...